A method of weather recognition based on outdoor images

To improve the quality of video surveillance in outdoor and automatic acquire of the weather situations, a method to recognize weather phenomenon based on outdoor images is presented. There are three features of our method: firstly, the features, such as the power spectrum slope, contrast, noise and saturation and so on are extracted, after analysing the effect of weather situations on image; secondly, a decision tree is constructed in accordance with the distance between the features; thirdly, when every SVM classifier on the non-leaf node of the decision tree is constructed, some features are selected by assigning the weight. The experiment results prove that the proposed method can effectively recognize the weather situations in outdoor.